Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Developing and Using a Codebook for the Analysis of Interview Data: An Example from a Professional Development Research Project
2010982 citationsJessica T. DeCuir‐Gunby, Patricia Marshall et al.Field Methodsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Allison W. McCulloch
Since
Specialization
Citations
This map shows the geographic impact of Allison W. McCulloch's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Allison W. McCulloch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Allison W. McCulloch more than expected).
Fields of papers citing papers by Allison W. McCulloch
This network shows the impact of papers produced by Allison W. McCulloch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Allison W. McCulloch. The network helps show where Allison W. McCulloch may publish in the future.
Co-authorship network of co-authors of Allison W. McCulloch
This figure shows the co-authorship network connecting the top 25 collaborators of Allison W. McCulloch.
A scholar is included among the top collaborators of Allison W. McCulloch based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Allison W. McCulloch. Allison W. McCulloch is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
McCulloch, Allison W., et al.. (2021). AMTE's 2021 NTLI Fellowship: Using a Framework to Teach Preservice Mathematics Teachers How to Professionally Notice within Technology-Mediated Learning Environments. Society for Information Technology & Teacher Education International Conference. 1359–1368.
Meagher, Michael, et al.. (2019). A Transformative Learning Experience for the Concept of Function.. Proceedings of the ... PME Conference.1 indexed citations
12.
McCulloch, Allison W., et al.. (2019). Designing to Provoke Disorienting Dilemmas: Transforming Preservice Teachers' Understanding of Function Using a Vending Machine Applet.. 19(1).6 indexed citations
13.
Sherman, Milan, et al.. (2019). Transforming Pre-Service Teachers Definition of Function.. Proceedings of the ... PME Conference.1 indexed citations
14.
McCulloch, Allison W., et al.. (2017). Developing Preservice Teachers' Understanding of Function Using a Vending Machine Metaphor Applet.. Proceedings of the ... PME Conference.1 indexed citations
McCulloch, Allison W. & Jeremy V. Ernst. (2012). Estuarine Ecosystems: Using T & E Signature Approaches to Support STEM Integration.. Technology and Engineering Teacher. 72(3). 13–17.3 indexed citations
DeCuir‐Gunby, Jessica T., Patricia Marshall, & Allison W. McCulloch. (2010). Developing and Using a Codebook for the Analysis of Interview Data: An Example from a Professional Development Research Project. Field Methods. 23(2). 136–155.982 indexed citations breakdown →
19.
McCulloch, Allison W.. (2009). Insights into Graphing Calculator Use: Methods for Capturing Activity and Affect.. International Journal for Technology in Mathematics Education. 16(2). 75–82.3 indexed citations
20.
Goldin, Gerald A., et al.. (2007). The Complexity of Affect in an Urban Mathematics Classroom. 1–8.2 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
bibliographic database. While OpenAlex provides broad and valuable coverage of the global
research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
delays in data updates. As a result, some metrics and network relationships displayed in
Rankless may not fully capture the entirety of a scholar's output or impact.